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Group 19
Objective: Understand patterns and correlations between early predictors Comorbidities and Etiologies, their numerical estimate CPS and Charlson index and cirrhosis’ patients outcome
=======Objective: Understand patterns and correlations between early predictors Comorbidities and Etiologies, their numerical estimate CPS and Charlson index and cirrhosis’ patients outcome
>>>>>>> 8b6565eda2a8fcf430700d631dc4f593685717a1Cirrhosis = condition in which the liver is scarred and permanently damaged.
Relevancy of the study: Cirrhosis is a leading cause of mortality in the world (11th), and finding accurate descriptive index is a useful tool to investigate the possible outcome of patients.



Cleaning:
Tidying:
Augmenting:

Etiology is the study of the factors that come together leading to a disease.
Comorbidity is an additional disease that can interact and coexist simultaneously with cirrhosis.




Overview: Logistic regression model
Variables: CPS & Mortality
Results: For every increased CPS unit, the likelihood for mortality increase by 50 %


Overview: Logistic regression model
Variables: CPS & Mortality
Results: For every increased CPS unit, the likelihood for mortality increase by 50 %
Overview: Linear regression model
Variables: CPS & Etiologies
Results: Statistically significant result for nafld associated with low CPS

Overview: Linear regression model
Variables: CPS & Etiologies
Results: Statistically significant result for nafld associated with low CPS
For every CPS unit increase there is a 50 % higher likelihood for mortality
According to the linear regression nafld is associated with low CPS